Visual Speech Recognition using Spatial-Temporal Gradient Analysis

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Jafari Sheshpoli Ali; Nadian Ghomsheh Ali

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Journal Paper

Paper Information

Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2020 | Volume:50 | Issue:3 (93) Page(s): 1137-1150

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Information Journal Paper

Title

Visual Speech Recognition using Spatial-Temporal Gradient Analysis

Author(s)

Jafari Sheshpoli Ali | Nadian Ghomsheh Ali | Issue Writer Certificate

Keywords

Visual speech recognition

temporal and spatial gradient

curve fitting

local features

motion features

Abstract

The use of visual information for voice recognition is an important solution in the absence of audio information. This paper presents a method for speech recognition using visual information by describing spatial-temporal changes in the lobe of the lips. The gradient of the image was used for feature extraction. In the proposed method, after lobe area detection and extraction of key points, the gradient was extracted to describe the spatial information of the key points. To describe the key areas of the lip during speaking, the 3D histogram of gradients path curve fitting was used. The main focus of this research was to provide an adequate description of speech. For this purpose, different classifiers were tested and the best one was recognized. To evaluate the proposed method, the MIRACL-VC1 database was used and the results were compared with previous methods for speech recognition which had an improvement about 11 to 17 percent.

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APA: Copy

Jafari Sheshpoli, Ali, & Nadian Ghomsheh, Ali. (2020). Visual Speech Recognition using Spatial-Temporal Gradient Analysis. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 50(3 (93) ), 1137-1150. SID. https://sid.ir/paper/962477/en

Vancouver: Copy

Jafari Sheshpoli Ali, Nadian Ghomsheh Ali. Visual Speech Recognition using Spatial-Temporal Gradient Analysis. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2020;50(3 (93) ):1137-1150. Available from: https://sid.ir/paper/962477/en

IEEE: Copy

Ali Jafari Sheshpoli, and Ali Nadian Ghomsheh, “Visual Speech Recognition using Spatial-Temporal Gradient Analysis,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 50, no. 3 (93) , pp. 1137–1150, 2020, [Online]. Available: https://sid.ir/paper/962477/en

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